Content of Living Space Optimization in our journal

Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Reference Manager ProCite BibTeX RefWorks Toggle Thumbnails Select Spatio-temporal evolution, spatio-temporal clustering and risk prevention and control of PM2.5 exposure risk in China from 2001 to 2016 LIN Yi-chen, SUN Si-wei, PAN Yue, LIU Chao-qun, ZHOU Peng HUBEI AGRICULTURAL SCIENCES    2024, 63 (2): 247-253,260.   DOI: 10.14088/j.cnki.issn0439-8114.2024.02.037 Abstract （64）      PDF （9353KB）（16）       Knowledge map    Save The coupling population-weighted air pollution exposure risk （PPM2.5） evaluation system was built, and the spatio-temporal evolution and spatio-temporal clustering of PM2.5 and its population exposure risk in China was studied based on exploratory spatiotemporal analysis. The results showed that based on the time-space evolution analysis, it was found that there was a spatial mismatch between the coupling population-weighted air pollution exposure risk （PPM2.5） pattern and the distribution of PM2.5 concentration.The risk level of PPM2.5 decreased with the gradient from the center to the periphery, but the overall pattern of high in the east and low in the west remained unchanged during the study period. The spatial and temporal evolution of its equilibrium showed an enhancement of the overall imbalance and the local equilibrium was more likely. Based on the K-means clustering analysis of spatio-temporal scanning statistics, four types of exposure risk were defined： stable low risk, continuous growth risk, continuous high risk and low-high risk gradual change. The distribution of each type was significantly different with different demographic and economic characteristics. The development of differentiated air pollution warning and prevention strategies based on the spatial and temporal clustering zones of different PM2.5 population exposure risk could help improve urban resilience and provide a theoretical and practical basis for the implementation of the development strategy of “Healthy China”. Reference | Related Articles | Metrics Select Temporal and spatial evolution analysis of habitat quality in ecologically vulnerable areas based on PLUS-InVEST model LI Zi-han, YU Hui, GONG Fei, WANG Tian-zhu, LI Peng-shan, PAN Yi-xi, LIU Si-yuan HUBEI AGRICULTURAL SCIENCES    2024, 63 (2): 254-260.   DOI: 10.14088/j.cnki.issn0439-8114.2024.02.038 Abstract （59）      PDF （3435KB）（25）       Knowledge map    Save Based on the PLUS model, the land use situation in ecologically vulnerable areas of Aba Prefecture in 2030 was predicted, and the InVEST model was used to calculate the habitat quality in 2000, 2010, 2020 and 2030, and analyze its temporal and spatial evolution. The results showed that the degradation of grassland and wetland in the study area was significant and the bare land continued to increase. It was estimated that the area of bare land would reach 334.38 km2 in 2030; compared with 2000, there would be 204.55 km2 of wetland degradation. Among the driving factors, rainfall was the main factor limiting the expansion of forest land and wetlands, which reflected the importance of water conservation function; there was little difference in the degree of grasslands affected by various factors, the grass land generally grew in places far from the government, and the area expansion was limited by DEM; air temperature was the main factor leading to the increase of bare land. The habitat quality was generally high, but the spatial distribution varied greatly, and there was a slow deterioration trend. It was expected that the area with low habitat quality would increase by 670.28 km2 in 2030 compared with 2000, mainly caused by the expansion of cultivated land and construction land. The rate of habitat quality degradation would slow down in the future, but artificial measures were still needed to prevent the decline. Reference | Related Articles | Metrics page Page 1 of 2 Total 4 records First page Prev page Next page Last page